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Computer Scientist Analyst

Checked
rysweet·vlatest·backend

This AI analyzes complex data sets like a computer scientist, providing insightful breakdowns and solutions for informed decision-making.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add rysweet/amplihack --skill computer-scientist-analyst -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

rysweet

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned rysweet/amplihack at 84424457d5.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
84424457d5
Manifest
.claude/skills/computer-scientist-analyst/SKILL.md
Scanned
8 files, 5,246 lines
Copies in repo
2 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to analyze complex computer science problems, debug code, and explain technical concepts with precision. It acts as a specialized consultant for software development challenges, bridging the gap between abstract requirements and concrete implementation strategies.

When to use it

  • Debugging persistent runtime errors or logic flaws in existing codebases.
  • Breaking down high-level architectural requirements into actionable development steps.
  • Explaining intricate algorithms or data structures to non-technical stakeholders.
  • Reviewing code for best practices, security vulnerabilities, and performance bottlenecks.

Key capabilities

  • Deep analysis of software architecture and system design patterns.
  • Precise identification and resolution of coding errors across various languages.
  • Clear articulation of complex technical theories and implementation details.
  • Strategic planning for software development lifecycles.

Example prompts

  • "Analyze this Python script and explain why the memory usage spikes during the data processing loop."
  • "Design a scalable microservices architecture for a real-time chat application using Node.js."
  • "Explain the concept of distributed consensus algorithms like Raft in simple terms for a product manager."

Tips & gotchas

Ensure you provide specific code snippets or clear problem descriptions to get the most accurate analysis. While the agent excels at logical reasoning and technical explanation, it may not have direct access to your local file system unless explicitly granted permissions through the integration interface.